cmapss

There are 4 repositories under cmapss topic.

jiaxiang-cheng / PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
transformer pytorch pytorch-implementation remaining-useful-life cmapss turbofan-engine prediction predictive-maintenance
Language:Python 185
biswajitsahoo1111 / rul_codes_open
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
remaining-useful-life machinery-condition-monitoring machine-learning deep-learning prognosis prediction rul-prediction data-driven-prediction cmapss
Language:Jupyter Notebook 142
kpeters / exploring-nasas-turbofan-dataset
collection of predictive maintenance solutions for NASAs turbofan (CMAPSS) dataset
predictive-maintenance turbofan-engine nasa cmapss
Language:Jupyter Notebook 111
jiaxiang-cheng / PyTorch-LSTM-for-RUL-Prediction
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.
cmapss lstm lstm-neural-networks pytorch remaining-useful-life
Language:Python 104
mohyunho / N-CMAPSS_DL
N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)
cmapss n-cmapss predictive-maintenance remaining-useful-life-prediction remaining-useful-life turbofan-engine rul-prediction c-mapss deep-learning new-cmapss machine-learning ncmapss prognostics
Language:Jupyter Notebook 60
foryichuanqi / RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN
The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.
attention-mechanism cmapss fcn interpretability keras phm remaining-useful-life-prediction tensorflow
Language:Python 41
mohyunho / NAS_transformer
Evolutionary Neural Architecture Search on Transformers for RUL Prediction
cmapss evolutionary-algorithms evolutionary-computation neural-architecture-search ngboost predictive-maintenance prognostics prognostics-health-management remaining-useful-life-prediction rul-prediction transformer-architecture transformers
Language:Python 30
tilman151 / rul-datasets
A collection of datasets for RUL estimation as Lightning Data Modules.
pytorch cmapss domain-adaptation femto pronostia-dataset remaining-useful-life remaining-useful-life-prediction semi-supervised-learning xjtu pytorch-lightning
Language:Python 27
tilman151 / rul-adapt
A collection of unsupervised domain adaption algorithms for RUL estimation.
cmapss domain-adaptation femto pronostia-dataset pytorch pytorch-lightning remaining-useful-life xjtu
Language:Python 24
mohyunho / ENAS-PdM
Evolutionary Neural Architecture Search for Remaining Useful Life Prediction
evolutionary-algorithm lstm cnn-lstm neural-architecture-search remaining-useful-life cmapss rul-prediction rul c-mapss predictive-maintenance enas
Language:Python 20
alireza-javanmardi / conformal-RUL-intervals
Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)
conformal-prediction machine-learning remaining-useful-life uncertainty-quantification cmapss deep-learning
Language:Python 9
StarMarco / DVAE_torch
A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation
cmapss pytorch remaining-useful-life variational-autoencoder
Language:Jupyter Notebook 5
Oussama-KIASSI / NASA-Turbofan-Engine-Predictive-Maintenance
Predictive Maintenance project using Python and C-MAPSS NASA Turbofan Engine data.
predictive-maintenance nasa cmapss aeronautics python jupyter-notebook
Language:Jupyter Notebook 3
StarMarco / Kalman_DVAE
Tensorflow implementation of a Kalman-DVAE for remaining useful life estimation on the CMAPSS dataset
cmapss kalman-filter remaining-useful-life tensorflow variational-autoencoder
Language:Jupyter Notebook 2
SaidattaGoparaju / False-data-Injection-Attack
cmapss cnn datasets deep-learning gru lstm python react
Language:Python

cmapss

jiaxiang-cheng / PyTorch-Transformer-for-RUL-Prediction

biswajitsahoo1111 / rul_codes_open

kpeters / exploring-nasas-turbofan-dataset

jiaxiang-cheng / PyTorch-LSTM-for-RUL-Prediction

mohyunho / N-CMAPSS_DL

foryichuanqi / RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN

mohyunho / NAS_transformer

tilman151 / rul-datasets

tilman151 / rul-adapt

mohyunho / ENAS-PdM

alireza-javanmardi / conformal-RUL-intervals

StarMarco / DVAE_torch

Oussama-KIASSI / NASA-Turbofan-Engine-Predictive-Maintenance

StarMarco / Kalman_DVAE

SaidattaGoparaju / False-data-Injection-Attack